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This video tutorial from Cohere AI explains the concepts of word and sentence embeddings, which are fundamental to large language models. Language models aim to enable computers to understand and process human language. Since language is composed of words and computers handle numbers, word embeddings translate words into numerical representations. Similarly, sentence embeddings convert sentences into numbers. This process is not manually performed by humans; instead, it is achieved through complex neural networks that analyze context. When two words appear together in similar contexts, their numerical representation is adjusted to be closer in the embedding space. This results in effective and meaningful representations of words and sentences.
